← Authors

Lingqiao Liu

63 papers · 2013–2026 · 12 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (13) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (110) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏠 Conference Loyalist (23) πŸ”¬ Deep Specialist (13) 🀝 Dynamic Duo (17) 🌱 Topic Pioneer πŸ† Keyword Champion πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (14) πŸ—ƒοΈ Keyword Collector (258) ❓ The Questioner (2) ⚑ Prolific Year (8) πŸš€ Conference Pioneer πŸ’Ž Century Club (61)

Conferences

CVPR (23) ICCV (7) AAAI (6) EMNLP (6) NIPS (6) ECCV (5) MICCAI (3) WACV (3) ACL (1) COLING (1) IJCNLP (1) NAACL (1)

Top co-authors

Chunhua Shen (17) Anton van den Hengel (16) Lei Wang (9) Peng Wang (7) Liang Chen (6) Bohan Zhuang (6) Ian Reid (6) Yong Zhang (5) Yibing Song (5) Yuhao Lin (5)

Keywords

domain generalization (8) transfer learning (7) representation learning (7) convolutional neural network (6) zero-shot learning (6) semantic segmentation (5) attention mechanism (4) self-supervised learning (3) unsupervised learning (3) text classification (3) pre-trained language model (3) image classification (3) few-shot learning (3) visual question answering (3) large language model (3) vision transformer (2) semi-supervised learning (2) image segmentation (2) medical imaging (2) model compression (2)

Papers

Revisiting Vision-Language Foundations for No-Reference Image Quality Assessment WACV 2026
ReFINE: A Reward-Based Framework for Interpretable and Nuanced Evaluation of Radiology Report Generation AAAI 2026
HiTVideo: Hierarchical Tokenizers for Enhancing Text-to-Video Generation with Autoregressive Large Language Models AAAI 2026
MoSCo: Real-time and Efficient Text-to-Motion Synthesis via Delta Training WACV 2026
One Last Attention for Your Vision-Language Model ICCV 2025
Efficiently Selecting Response Generation Strategies for Synthetic Data Construction by Self-Aligned Perplexity EMNLP 2025
Enhancing Close-up Novel View Synthesis via Pseudo-labeling AAAI 2025
Attention-Driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models Without Fine-Tuning AAAI 2025
A Simple-but-Effective Baseline for Training-Free Class-Agnostic Counting WACV 2025
PedCLIP: A Vision-Language model for Pediatric X-rays with Mixture of Body part Experts MICCAI 2025
On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition ECCV 2024
Semantic Role Labeling Guided Out-of-distribution Detection COLING 2024
LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization NIPS 2024
I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses EMNLP 2024
Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors CVPR 2024
Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework CVPR 2024
MRScore: Evaluating Medical Report with LLM-based Reward System MICCAI 2024
KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models MICCAI 2024
Toward Re-Identifying Any Animal NIPS 2023
Learning Common Rationale To Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems CVPR 2023
Improved Test-Time Adaptation for Domain Generalization CVPR 2023
METransformer: Radiology Report Generation by Transformer With Multiple Learnable Expert Tokens CVPR 2023
The CLIP Model is Secretly an Image-to-Prompt Converter NIPS 2023
Zero-Shot Slot Filling with Slot-Prefix Prompting and Attention Relationship Descriptor AAAI 2023
Domain Generalization via Rationale Invariance ICCV 2023
Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future EMNLP 2023
ZegCLIP: Towards Adapting CLIP for Zero-Shot Semantic Segmentation CVPR 2023
Learning Conditional Attributes for Compositional Zero-Shot Learning CVPR 2023
Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism ECCV 2022
OST: Improving Generalization of DeepFake Detection via One-Shot Test-Time Training NIPS 2022
Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization NIPS 2022
Self-Supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection CVPR 2022
Dynamically Transformed Instance Normalization Network for Generalizable Person Re-identification ECCV 2022
UOA at the FinNLP-2022 ERAI Task: Leveraging the Class Label Description for Financial Opinion Mining EMNLP 2022
Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model EMNLP 2022
Progressive Class Semantic Matching for Semi-supervised Text Classification NAACL 2022
Don’t Miss the Labels: Label-semantic Augmented Meta-Learner for Few-Shot Text Classification IJCNLP 2021
Contextualize Knowledge Bases with Transformer for End-to-end Task-Oriented Dialogue Systems EMNLP 2021
Don’t Miss the Labels: Label-semantic Augmented Meta-Learner for Few-Shot Text Classification ACL 2021
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks ECCV 2020
Training Quantized Neural Networks With a Full-Precision Auxiliary Module CVPR 2020
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices AAAI 2020
A Generative Adversarial Density Estimator CVPR 2019
Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection ICCV 2019
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation CVPR 2019
Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal ECCV 2018
Towards Effective Low-Bitwidth Convolutional Neural Networks CVPR 2018
From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur CVPR 2017
Towards Context-Aware Interaction Recognition for Visual Relationship Detection ICCV 2017
Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation ICCV 2017
Multi-Attention Network for One Shot Learning CVPR 2017
Sequential Person Recognition in Photo Albums With a Recurrent Network CVPR 2017
Graph-Structured Representations for Visual Question Answering CVPR 2017
Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning From Web Data CVPR 2017
Less Is More: Zero-Shot Learning From Online Textual Documents With Noise Suppression CVPR 2016
What's Wrong With That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution CVPR 2016
What Value Do Explicit High Level Concepts Have in Vision to Language Problems? CVPR 2016
Mid-Level Deep Pattern Mining CVPR 2015
The Treasure Beneath Convolutional Layers: Cross-Convolutional-Layer Pooling for Image Classification CVPR 2015
Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors NIPS 2014
A Scalable Unsupervised Feature Merging Approach to Efficient Dimensionality Reduction of High-Dimensional Visual Data ICCV 2013
Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network CVPR 2013
Improving Graph Matching via Density Maximization ICCV 2013